Our framework represents a groundbreaking advancement in AI detection technology, built upon research from an upcoming AAAI 2025 paper. This collaborative effort, led by researchers from Stanford and other prestigious institutions, addresses the growing challenge of distinguishing between human and AI-generated content.

The core of our technology lies in the innovative 'Imitate Before Detect' (ImBD) approach. This method first learns to replicate machine-style patterns, then uses this knowledge to identify AI modifications in text. What sets us apart is our ability to detect even subtle machine revisions while maintaining high accuracy.

Our breakthrough achievement? Surpassing commercial solutions like GPT-Zero using just 1,000 samples and five minutes of training, demonstrating both efficiency and effectiveness in real-world applications.